The Nielsen Company

Information Technology And Services

Director,AI/ML&DataScience

₹55–85L ~AI est. Bangalore, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for not-applicable candidates.

The Brief

“Director, AI/ML & Data Science at The Nielsen Company. Skills: AI, ML, Data Science, MLOps. Manage teams of data science and analytics engineers. Work with management across org partners”

What You'll Achieve.

Deliver business outcomes; Deliver key outcomes and deliverables

Industry & Context.

Information Technology And Services
Problems you'll solve

Critical thinking; Problem-solving skills

What They're Looking For.

Must Have

13+ years of experience, 10+ years of experience with statistical coding languages, 3-5 years of experience working in a cloud-based environment, 3-5 years experience with low-code/no-code tools, 3-5 years experience in visualization tools, Bachelor's/Master's degree in a quantitative research field

Nice to Have

PhD preferred, Knowledge of market research methodologies, Knowledge of media consumption trends, Knowledge of media industry regulations

What You'll Do.

Manage teams of data science and analytics engineers

Work with management across org partners

Create a culture of collaboration

Foster innovation and continuous learning

Establish operating rhythm and cadence

Ensure transparent communication

Create a positive high retention environment

Track KPIs including productivity

Track employee retention

Coordinate talent pipeline

Support internships and new joiner programs

Assess and improve business processes

Automate processes for recurring analyses

Automate processes for simulations

Oversee deployment of machine learning models

Oversee maintenance of machine learning models

Oversee deployment of AI solutions

Oversee maintenance of AI solutions

Oversee deployment of LLM solutions

Oversee maintenance of LLM solutions

Oversee deployment of data pipelines

Oversee maintenance of data pipelines

Establish quality assurance processes

Enforce quality assurance processes

Maintain integrity of audience measurement data

Maintain accuracy of audience measurement data

Ensure adherence to Product Development Lifecycle tools

Drive research initiatives

Improve methodologies for statistical sampling

Improve methodologies for research for panels

Improve methodologies for research for surveys

Oversee evolution of analytics

Incorporate predictive analytics into processes

Incorporate prescriptive analytics into processes

Identify market research methodologies

Implement market research methodologies

Represent Data Science and Analytics team

Stay abreast of emerging trends

Stay abreast of emerging technologies

Stay abreast of best practices in data science

Stay abreast of best practices in market research

Stay abreast of best practices in media analytics

Contribute to thought leadership initiatives

Lead initiatives in core data science

Lead initiatives in statistical modeling

Lead initiatives in machine learning

Lead initiatives in data mining

Lead initiatives in experimental design

Develop NLP solutions for text analysis

Develop NLP solutions for sentiment analysis

Develop NLP solutions for topic modeling

Develop NLP solutions for information extraction

Develop NLP solutions for chatbot development

Lead computer vision projects

Lead image/video analysis projects

Lead object detection projects

Lead image classification projects

Lead facial recognition projects

Lead video understanding projects

Utilize GenAI tools for workflow creation

Build Agentic RAG systems

Deploy Agentic RAG systems

Build Small Language Models

Deploy Small Language Models

Build text generation workflows

Deploy text generation workflows

Build content summarization workflows

Deploy content summarization workflows

How You'll Work.

Team & Collaboration

Local and global stakeholders; Cross-functional engagements; Product teams; Technology teams; Audience Measurement Data Science teams

Communication Scope

Verbal communication; Written communication; Presentation skills

Full Job Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. The Director of AI/ML & Data Science Gracenote India will be central to the success of the data science teams across geographies. This role is fundamental to the growth and success of Gracenote AI & Data Science organization as a whole. Key goals of this role are to establish the technical rigor, culture and operating rhythm of the organization, delivering the business outcomes for Gracenote and working with local and global stakeholders to collaborate on key outcomes and deliverables. This role will involve leading initiatives in AI, core data science, NLP, computer vision and MLOps. Responsibilities * Manage multiple teams of Gracenote data science and analytics engineers, with direct and indirect managerial responsibilities. * Work with local and global management across all relevant org partners to ensure success and productivity and business outcomes of assigned teams. * Create a culture based on Nielsen values, fostering a culture of collaboration, innovation, and continuous learning and growth. * Establish operating rhythm and cadence within areas of responsibility to ensure transparent communication and inclusiveness, with the aim of creating a positive high retention environment for associates. * Track KPIs including productivity and employee retention. * Coordinate and maintain a talent pipeline, including connections

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